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Theoretical and numerical analyses for PDM-IM signals using Stokes vector receivers
Science China Information Sciences ( IF 8.8 ) Pub Date : 2020-09-17 , DOI: 10.1007/s11432-019-2870-8
Jiahao Huo , Xian Zhou , Chao Shang , Wei Huangfu , Jinhui Yuan , Huansheng Ning , Keping Long , Changyuan Yu , Alan Pak Tao Lau , Chao Lu

Different from current coherent-detection-based long-haul transmission systems, inter- and intradatacenter transmissions require a simpler transmitter and receiver. A promising way to significantly meet the demands of datacenter transmission is polarization division multiplexing intensity modulation with direct detection (PDM-IM-DD) using a Stokes vector receiver (SVR). However, for different SVR architectures, the corresponding demultiplexing matrix is required to recover the Stokes vectors from the detected signals, which are combined with an arbitrary state of polarization (SOP), will change the effect of noise dynamically and significantly influence the system performance. In this study, PDM-IM signals using four SVRs, i.e., a 90° optical hybrid with 2 balanced photodetectors (BPDs) and 2 photodetectors (PDs), a 90° optical hybrid with 4 PDs, a Stokes analyzer and a 3 × 3 coupler with 4 PDs, are studied theoretically and numerically. Theoretical system models using the four SVRs are developed, and the noise power variations are analyzed quantitatively based on these models. Moreover, the performance of the systems is also investigated for 224 Gbit/s polarization division multiplexing pulse amplitude modulation 4 level with direct detection (PDM-PAM4-DD) transmission in a simulation. The simulation results show that the bit error rate (BER) performance of the systems is consistent with the theoretical noise power variation curves. The theoretical analysis scheme is helpful for the practical design of SVR-based systems.



中文翻译:

使用Stokes矢量接收器对PDM-IM信号进行理论和数值分析

与当前基于相干检测的远程传输系统不同,数据中心间和数据中心内传输需要更简单的发送器和接收器。满足数据中心传输需求的一种有前途的方法是使用斯托克斯矢量接收器(SVR)进行直接检测的偏振分复用强度调制(PDM-IM-DD)。但是,对于不同的SVR架构,需要使用相应的多路分解矩阵从检测到的信号中恢复斯托克斯矢量,这些矢量与任意极化状态(SOP)相结合,将动态改变噪声的影响,并显着影响系统性能。在这项研究中,PDM-IM信号使用四个SVR,即具有2个平衡光电探测器(BPD)和2个光电探测器(PD)的90°光学混合器,具有4个PD的90°光学混合器,从理论和数值上研究了Stokes分析仪和具有4个PD的3×3耦合器。开发了使用四个SVR的理论系统模型,并基于这些模型定量分析了噪声功率变化。此外,在仿真中,还针对具有直接检测(PDM-PAM4-DD)传输的224 Gbit / s偏振除法复用脉冲幅度调制4级系统的性能进行了研究。仿真结果表明,系统的误码率(BER)性能与理论噪声功率变化曲线一致。理论分析方案有助于基于SVR的系统的实际设计。根据这些模型对噪声功率变化进行定量分析。此外,在仿真中,还针对具有直接检测(PDM-PAM4-DD)传输的224 Gbit / s偏振除法复用脉冲幅度调制4级系统的性能进行了研究。仿真结果表明,系统的误码率(BER)性能与理论噪声功率变化曲线一致。理论分析方案有助于基于SVR的系统的实际设计。根据这些模型对噪声功率变化进行定量分析。此外,在仿真中,还针对具有直接检测(PDM-PAM4-DD)传输的224 Gbit / s偏振除法复用脉冲幅度调制4级系统的性能进行了研究。仿真结果表明,系统的误码率(BER)性能与理论噪声功率变化曲线一致。理论分析方案有助于基于SVR的系统的实际设计。仿真结果表明,系统的误码率(BER)性能与理论噪声功率变化曲线一致。理论分析方案有助于基于SVR的系统的实际设计。仿真结果表明,系统的误码率(BER)性能与理论噪声功率变化曲线一致。理论分析方案有助于基于SVR的系统的实际设计。

更新日期:2020-09-25
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